2023-05-16 16:47:54 -04:00
|
|
|
import sys
|
|
|
|
import typer
|
|
|
|
|
|
|
|
from typing_extensions import Annotated
|
|
|
|
from gpt4all import GPT4All
|
|
|
|
|
|
|
|
MESSAGES = [
|
|
|
|
{"role": "system", "content": "You are a helpful assistant."},
|
|
|
|
{"role": "user", "content": "Hello there."},
|
|
|
|
{"role": "assistant", "content": "Hi, how can I help you?"},
|
|
|
|
]
|
|
|
|
|
|
|
|
SPECIAL_COMMANDS = {
|
|
|
|
"/reset": lambda messages: messages.clear(),
|
|
|
|
"/exit": lambda _: sys.exit(),
|
|
|
|
"/clear": lambda _: print("\n" * 100),
|
|
|
|
"/help": lambda _: print("Special commands: /reset, /exit, /help and /clear"),
|
|
|
|
}
|
|
|
|
|
2023-06-16 16:06:22 -04:00
|
|
|
VERSION = "0.3.4"
|
2023-05-16 16:47:54 -04:00
|
|
|
|
|
|
|
CLI_START_MESSAGE = f"""
|
|
|
|
|
|
|
|
██████ ██████ ████████ ██ ██ █████ ██ ██
|
|
|
|
██ ██ ██ ██ ██ ██ ██ ██ ██ ██
|
|
|
|
██ ███ ██████ ██ ███████ ███████ ██ ██
|
|
|
|
██ ██ ██ ██ ██ ██ ██ ██ ██
|
|
|
|
██████ ██ ██ ██ ██ ██ ███████ ███████
|
|
|
|
|
|
|
|
|
|
|
|
Welcome to the GPT4All CLI! Version {VERSION}
|
|
|
|
Type /help for special commands.
|
|
|
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
# create typer app
|
|
|
|
app = typer.Typer()
|
|
|
|
|
|
|
|
@app.command()
|
|
|
|
def repl(
|
|
|
|
model: Annotated[
|
|
|
|
str,
|
|
|
|
typer.Option("--model", "-m", help="Model to use for chatbot"),
|
|
|
|
] = "ggml-gpt4all-j-v1.3-groovy",
|
|
|
|
n_threads: Annotated[
|
|
|
|
int,
|
|
|
|
typer.Option("--n-threads", "-t", help="Number of threads to use for chatbot"),
|
2023-05-25 11:53:39 -04:00
|
|
|
] = None,
|
2023-05-16 16:47:54 -04:00
|
|
|
):
|
|
|
|
gpt4all_instance = GPT4All(model)
|
|
|
|
|
|
|
|
# if threads are passed, set them
|
2023-05-25 11:53:39 -04:00
|
|
|
if n_threads is not None:
|
2023-05-16 16:47:54 -04:00
|
|
|
num_threads = gpt4all_instance.model.thread_count()
|
|
|
|
print(f"\nAdjusted: {num_threads} →", end="")
|
|
|
|
|
|
|
|
# set number of threads
|
|
|
|
gpt4all_instance.model.set_thread_count(n_threads)
|
|
|
|
|
|
|
|
num_threads = gpt4all_instance.model.thread_count()
|
|
|
|
print(f" {num_threads} threads", end="", flush=True)
|
2023-05-25 11:53:39 -04:00
|
|
|
else:
|
|
|
|
print(f"\nUsing {gpt4all_instance.model.thread_count()} threads", end="")
|
2023-05-16 16:47:54 -04:00
|
|
|
|
|
|
|
print(CLI_START_MESSAGE)
|
|
|
|
|
|
|
|
while True:
|
|
|
|
message = input(" ⇢ ")
|
|
|
|
|
|
|
|
# Check if special command and take action
|
|
|
|
if message in SPECIAL_COMMANDS:
|
|
|
|
SPECIAL_COMMANDS[message](MESSAGES)
|
|
|
|
continue
|
|
|
|
|
|
|
|
# if regular message, append to messages
|
|
|
|
MESSAGES.append({"role": "user", "content": message})
|
|
|
|
|
|
|
|
# execute chat completion and ignore the full response since
|
|
|
|
# we are outputting it incrementally
|
|
|
|
full_response = gpt4all_instance.chat_completion(
|
|
|
|
MESSAGES,
|
|
|
|
# preferential kwargs for chat ux
|
|
|
|
logits_size=0,
|
|
|
|
tokens_size=0,
|
|
|
|
n_past=0,
|
|
|
|
n_ctx=0,
|
|
|
|
n_predict=200,
|
|
|
|
top_k=40,
|
|
|
|
top_p=0.9,
|
|
|
|
temp=0.9,
|
|
|
|
n_batch=9,
|
|
|
|
repeat_penalty=1.1,
|
|
|
|
repeat_last_n=64,
|
|
|
|
context_erase=0.0,
|
|
|
|
# required kwargs for cli ux (incremental response)
|
|
|
|
verbose=False,
|
2023-06-16 16:06:22 -04:00
|
|
|
streaming=True,
|
2023-05-16 16:47:54 -04:00
|
|
|
)
|
|
|
|
# record assistant's response to messages
|
|
|
|
MESSAGES.append(full_response.get("choices")[0].get("message"))
|
|
|
|
print() # newline before next prompt
|
|
|
|
|
|
|
|
|
|
|
|
@app.command()
|
|
|
|
def version():
|
2023-06-16 16:06:22 -04:00
|
|
|
print("gpt4all-cli v0.3.4")
|
2023-05-16 16:47:54 -04:00
|
|
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
app()
|